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ageing and carcinogenesis. We combine experimental approaches with bioinformatic analyses and statistical modelling (20% experimental, 80% computational), with a long-term view of improving the early detection of cancer. + Our group aims to understand the processes of somatic and regulatory genome evolution during ageing and carcinogenesis. We combine experimental approaches with bioinformatic analyses and statistical modelling (20% experimental, 80% computational), with a long-term view of improving the early detection of cancer.

- +
Our group aims to understand the processes of somatic and regulatory genome evolution during ageing and carcinogenesis. We combine experimental approaches with bioinformatic analyses and statistical modelling (20% experimental, 80% computational), with a long-term view of improving the early detection of cancer.